Multilayer optical thin film design with deep Q learning

Anqing Jiang*, Yoshie Osamu, Liangyao Chen

*この研究の対応する著者

研究成果: Article査読

15 被引用数 (Scopus)

抄録

Multilayer optical film plays a significant role in broad fields of optical application. Due to the nonlinear relationship between the dispersion characteristics of optical materials and the actual performance parameters of optical thin films, it is challenging to optimize optical thin film structure with the traditional models. In this paper, we present an implementation of Deep Q-learning, which suited for the most part for optical thin film. As a set of concrete demonstrations, we optimize solar absorber. The optimal program could optimal this solar absorber in 500 epoch (about 200 steps per-epoch) without any human intervention. Search results perform better than researchers’ manual searches.

本文言語English
論文番号12780
ジャーナルScientific reports
10
1
DOI
出版ステータスPublished - 2020 12月 1

ASJC Scopus subject areas

  • 一般

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